Abstract
In this paper, we analyze web access logs of a web site that synchronizes with free magazine for working woman in Tokyo, in order to investigate browse behavior of these webpages. In general, it is difficult to identify gender and age of access users using web access logs. We try to extract browse behavior of specific users using web access logs that synchronizes with free magazine. As analysis results, we discover characteristic behaviors of users.
